Ben Whitney

532 total citations
17 papers, 291 citations indexed

About

Ben Whitney is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ben Whitney has authored 17 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Ben Whitney's work include Advanced Data Storage Technologies (8 papers), Advanced Data Compression Techniques (7 papers) and Algorithms and Data Compression (4 papers). Ben Whitney is often cited by papers focused on Advanced Data Storage Technologies (8 papers), Advanced Data Compression Techniques (7 papers) and Algorithms and Data Compression (4 papers). Ben Whitney collaborates with scholars based in United States, United Kingdom and Türkiye. Ben Whitney's co-authors include Scott Klasky, Mark Ainsworth, Ozan Tuğluk, Jieyang Chen, Lipeng Wan, Qing Liu, Xin Liang, David Pugmire, Norbert Podhorszki and Matthew Wolf and has published in prestigious journals such as IEEE Transactions on Computers, SIAM Journal on Scientific Computing and Proceedings of the American Mathematical Society.

In The Last Decade

Ben Whitney

15 papers receiving 291 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ben Whitney United States 8 149 124 101 98 28 17 291
Ozan Tuğluk Türkiye 5 98 0.7× 77 0.6× 65 0.6× 62 0.6× 15 0.5× 8 194
James Kress United States 6 95 0.6× 32 0.3× 59 0.6× 42 0.4× 41 1.5× 15 166
Catherine Olschanowsky United States 14 251 1.7× 57 0.5× 35 0.3× 208 2.1× 44 1.6× 29 388
Jong Youl Choi United States 9 214 1.4× 60 0.5× 21 0.2× 95 1.0× 58 2.1× 18 287
Jeremy Meredith United States 6 132 0.9× 32 0.3× 95 0.9× 78 0.8× 38 1.4× 8 259
Eric Brugger United States 7 101 0.7× 24 0.2× 93 0.9× 39 0.4× 47 1.7× 10 232
Kalyan Kumaran United States 13 365 2.4× 73 0.6× 42 0.4× 302 3.1× 26 0.9× 25 506
Olga Pearce United States 10 297 2.0× 28 0.2× 48 0.5× 273 2.8× 25 0.9× 30 443
Carlo Bertolli United Kingdom 12 313 2.1× 36 0.3× 20 0.2× 276 2.8× 18 0.6× 35 411
David Beckingsale United States 12 311 2.1× 32 0.3× 26 0.3× 325 3.3× 21 0.8× 25 461

Countries citing papers authored by Ben Whitney

Since Specialization
Citations

This map shows the geographic impact of Ben Whitney's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ben Whitney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Whitney more than expected).

Fields of papers citing papers by Ben Whitney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Whitney. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ben Whitney. The network helps show where Ben Whitney may publish in the future.

Co-authorship network of co-authors of Ben Whitney

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Whitney. A scholar is included among the top collaborators of Ben Whitney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ben Whitney. Ben Whitney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Archibald, Richard & Ben Whitney. (2024). Haar-Like Wavelets on Hierarchical Trees. Journal of Scientific Computing. 99(1). 1 indexed citations
2.
Bagherian, Maryam, et al.. (2023). Classical and quantum compression for edge computing: the ubiquitous data dimensionality reduction. Computing. 105(7). 1419–1465. 3 indexed citations
3.
Gong, Qian, Jieyang Chen, Ben Whitney, et al.. (2023). MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. SoftwareX. 24. 101590–101590. 18 indexed citations
4.
Liang, Xin, Ben Whitney, Jieyang Chen, et al.. (2023). Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2727–2739. 1 indexed citations
5.
Wan, Lipeng, Jieyang Chen, Xin Liang, et al.. (2023). RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 87–100.
6.
Gong, Qian, Ben Whitney, Chengzhu Zhang, et al.. (2022). Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–12. 4 indexed citations
7.
Liang, Xin, Qian Gong, Jieyang Chen, et al.. (2021). Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–13. 16 indexed citations
8.
Chen, Jieyang, Lipeng Wan, Xin Liang, et al.. (2021). Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. 859–868. 16 indexed citations
9.
Liang, Xin, Ben Whitney, Jieyang Chen, et al.. (2021). MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. IEEE Transactions on Computers. 71(7). 1522–1536. 41 indexed citations
10.
Ainsworth, Mark, Ozan Tuğluk, Ben Whitney, & Scott Klasky. (2020). Multilevel Techniques for Compression and Reduction of Scientific Data---The Unstructured Case. SIAM Journal on Scientific Computing. 42(2). A1402–A1427. 11 indexed citations
11.
Chen, Jieyang, David Pugmire, Matthew Wolf, et al.. (2019). Understanding Performance-Quality Trade-offs in Scientific Visualization Workflows with Lossy Compression. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–7. 4 indexed citations
12.
Ainsworth, Mark, Ozan Tuğluk, Ben Whitney, & Scott Klasky. (2019). Multilevel Techniques for Compression and Reduction of Scientific Data-Quantitative Control of Accuracy in Derived Quantities. SIAM Journal on Scientific Computing. 41(4). A2146–A2171. 34 indexed citations
13.
Ainsworth, Mark, Ozan Tuğluk, Ben Whitney, & Scott Klasky. (2019). Multilevel Techniques for Compression and Reduction of Scientific Data---The Multivariate Case. SIAM Journal on Scientific Computing. 41(2). A1278–A1303. 57 indexed citations
14.
Ainsworth, Mark, Ozan Tuğluk, Ben Whitney, & Scott Klasky. (2018). Multilevel techniques for compression and reduction of scientific data—the univariate case. Computing and Visualization in Science. 19(5-6). 65–76. 77 indexed citations
15.
Whitney, Ben. (2018). Multilevel Techniques for Compression and Reduction of Scientific Data. Brown Digital Repository. 1 indexed citations
16.
Hering, Milena, et al.. (2017). Diagonal splittings of toric varieties and unimodularity. Proceedings of the American Mathematical Society. 146(5). 1911–1920.
17.
Ainsworth, Mark, Scott Klasky, & Ben Whitney. (2017). Compression Using Lossless Decimation: Analysis and Application. SIAM Journal on Scientific Computing. 39(4). B732–B757. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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